Playground Tutorial Outpaint With Ease

Playground AI
27 Oct 202309:30

TLDRThe video script offers a comprehensive guide on out-painting techniques, emphasizing the importance of the starting image and the generation box size. It demonstrates how to expand an image while maintaining the central subject, and how to refine details using inpainting and adjustments to brightness, contrast, and saturation. The tutorial showcases a step-by-step process, from basic out-painting to enhancing specific elements of the image, ultimately transforming a simple image into a detailed and cohesive piece of art.


  • 🎨 The starting image's quality and dimensions are crucial for out-painting, as they influence the AI's understanding of the scene.
  • 📐 When out-painting, consider expanding the image while keeping the main subject in the center to maintain coherence.
  • 🖼️ Use the original prompt and generation box size (1024x1024) for consistency with the AI's interpretation.
  • 🚫 Avoid adding empty space without context; the AI might not recognize existing elements, leading to inconsistencies.
  • 💡 Ensure at least 40-50% of the original image is retained when out-painting for better results.
  • 📊 Out-painting larger areas may cause deviation from the original image; adjust the generation box size accordingly.
  • 🔄 If results are unsatisfactory, don't hesitate to undo and redo the out-painting process.
  • 👫 For enhancing details of subjects, such as faces and hands, consider using the original image and image-to-image techniques.
  • 🎨 Fine-tuning is necessary after out-painting; adjust brightness, contrast, and saturation to achieve a cohesive look.
  • 🛠️ Use the object eraser tool to seamlessly blend elements and correct unwanted parts of the image.
  • 📈 Experiment with different settings and filters to achieve the desired artistic look and maintain the integrity of the scene.

Q & A

  • What is the significance of the starting image in outpainting?

    -The starting image is crucial because it provides the basis for the outpainting process. The quality and resolution of the original image, such as being created in Stable Diffusion with Protovision as a filter at 1024x1024, can affect the outcome of the outpainting.

  • What is the first step the speaker takes when outpainting an image?

    -The first step the speaker takes is to examine the image and decide where they want to outpaint, identifying the details they wish to improve or enhance.

  • How does the speaker expand the image to the left and right while keeping the couple in the middle?

    -The speaker keeps the generation box at 1024x1024, leaves the original prompt unchanged, and clicks on outpaint. However, since the AI doesn't recognize the couple on the new empty space, they remove the main subject from the prompt and outpaint again to avoid adding an extra person.

  • Why is it important to maintain a certain percentage of the original image when outpainting a larger area?

    -Maintaining around 50% of the original image helps to ensure coherence and reduces the likelihood of the AI deviating too far from the original image, which might result in a completely different or unexpected outcome.

  • What is the speaker's approach to outpainting the top and bottom of the image?

    -The speaker extends the bottom to emphasize the sapphire pond and adds more space at the top for artistic effect. They do this incrementally to capture the texture and feel of the area, aiming for a coherent look.

  • How does the speaker enhance the details of the couple in the image?

    -The speaker uses the original image to inpaint the details back into the outpainted version. They crop the couple tightly and use the 'image to image' feature with the same filter settings as the original image to improve the details of the faces and hands.

  • What adjustments does the speaker make after inpainting the details?

    -After inpainting, the speaker adjusts the brightness, contrast, and saturation to match the original image. They also use the eraser tool to blend the seams and delete problem areas, aiming for a seamless integration of the new details.

  • What is the speaker's final step in refining the outpainted image?

    -The speaker makes final tweaks by adjusting the contrast and saturation if needed, and uses the object eraser to remove any unwanted dark areas or elements that don't blend well with the rest of the image.

  • What is the main takeaway from the speaker's outpainting process?

    -The main takeaway is that with careful planning and attention to detail, one can effectively use outpainting and inpainting techniques to enhance an image, add more details, and create a more visually appealing final result.

  • What advice does the speaker give to new users of the playground for outpainting multiple characters into one scene?

    -The speaker advises new users to check out a specific video that teaches how to use outpainting for creating multiple characters in one scene, suggesting that there are additional techniques and tips to learn beyond the basics covered in the script.



🎨 Out-Painting Techniques and Image Expansion

This paragraph discusses the importance of the starting image in out-painting and how to expand an image to the left and right while keeping the main subject in focus. It explains the process of out-painting with a 1024x1024 generation box and the significance of the original prompt. The speaker shares tips on how to avoid adding extra subjects in the blank spaces and emphasizes maintaining a coherent image by keeping at least 50% of the original image intact. The paragraph also covers the potential deviation from the original image when out-painting a larger area and suggests using a smaller generation frame to avoid random results.


🖌️ Enhancing Details and In-Painting Techniques

The second paragraph focuses on enhancing the details of the main subjects, particularly the couple, by using in-painting techniques. It describes the process of cropping the original image and using the 'image to image' feature with the same filter settings as the original image generation. The speaker provides insights on adjusting image strength, handling arms and hands, and blending the new details with the original image. The paragraph also touches on the importance of correcting the depth of field and making brightness, contrast, and saturation adjustments for a seamless integration of the new and old parts of the image.



💡Out Painting

Out Painting refers to the process of expanding an image by generating additional content beyond the original borders. In the context of the video, it is used to extend the scene around the main subject, a couple, by adding details like more foliage and landscape elements. The technique is crucial for creating a coherent and seamless extension of the original image, as it maintains the visual style and continuity of the content.

💡Stable Diffusion

Stable Diffusion is an AI-based image generation model that is used to create or modify images based on given prompts or existing images. In the video, the original image was created using Stable Diffusion with the Protovision filter, which is important for maintaining consistency when out painting.

💡Generation Box

The Generation Box is a tool used in out painting to define the area where the AI will generate new content. It is essential for controlling where the expansion occurs and for ensuring that the AI understands the context of the existing image. In the video, adjusting the size and position of the generation box is crucial for adding details like more of the scene without introducing unwanted elements.

💡Original Prompt

The Original Prompt refers to the text or description used when initially generating an image with AI. It contains the essential information that the AI uses to create the content. In the video, modifying the original prompt is important for guiding the AI to maintain the desired elements, such as the couple, in the out painted areas.

💡Image Expansion

Image Expansion is the process of increasing the size of an image, often to add more content or detail. It is a key aspect of out painting, allowing for the addition of new elements to the original scene. In the video, image expansion is used to create a more detailed and immersive environment around the main subject without altering the central focus.


Inpainting is a technique used to fill in missing or selected parts of an image with content that matches the surrounding area. It is used to enhance or restore images by adding details that were not originally present. In the video, inpainting is employed to add more definition to the faces and hands of the couple, improving the overall quality and realism of the image.


Protovision is a filter or setting used in AI image generation that affects the style and quality of the output. It is important for maintaining consistency with the original image when out painting or making other modifications. In the video, Protovision is the specific filter used to create the initial image, and it is recommended to use the same settings for any further enhancements.


Image-to-Image is a process in AI where one image is used as a reference or input to generate or modify another image. It is a technique that allows for the transfer of content, style, or specific details from one image to another. In the video, image-to-image is used to enhance the details of the couple by using the original image as a guide for inpainting.

💡Seam Removal

Seam Removal is the process of eliminating or reducing visible transitions or discontinuities between different parts of an image, especially after combining or blending elements. It is crucial for maintaining a natural and cohesive appearance in the final image. In the video, seam removal is part of the detailed work done to ensure that the inpainted details and out painted areas blend seamlessly with the rest of the image.

💡Detail Enhancement

Detail Enhancement refers to the process of improving or adding finer details to an image, making it more visually rich and realistic. It involves techniques like sharpening, adding texture, and refining elements to create a more immersive visual experience. In the video, detail enhancement is achieved through inpainting and out painting to improve the faces, hands, and other elements of the image.


The importance of the starting image in outpainting is emphasized, with the example of an image created in stable diffusion with protovision as a filter.

The initial step involves examining the image to decide where to outpaint and what details to improve.

Expanding the image while keeping the main subject in the center is a recommended approach.

A tip for outpainting is to maintain the original prompt and generation box size for coherence.

Removing unwanted main subjects from the expanded image can lead to better outpainting results.

The AI's lack of awareness of existing image content in the empty space outside the generation box is highlighted.

Including the main subject in the generation box can prevent the AI from adding extra elements.

Outpainting a larger area may cause deviation from the original image, so keeping at least 50% of the original image is advised.

The use of a smaller generation frame can help avoid random outpainting issues.

The process of extending the image bottom and top to enhance details like the sapphire pond and structure is described.

The importance of capturing the feel and texture of an area when outpainting is emphasized.

Details such as faces and hands can be improved by inpainting using the original image.

The use of image-to-image process with the same filter settings as the original image is recommended for inpainting.

Adjusting brightness, contrast, and saturation is necessary to match the inpainted details with the original image.

Erasing and regenerating certain areas can help achieve a seamless and more aesthetically pleasing result.

The final result showcases the transformation from the original image to an outpainted version with enhanced details around the main subject.